{"data":{"slug":"suno-ai-bark","name":"bark","tagline":"🔊 Text-Prompted Generative Audio Model","github_url":"https://github.com/suno-ai/bark","owner":"suno-ai","repo":"bark","owner_avatar_url":"https://avatars.githubusercontent.com/u/99442120?v=4","primary_language":"Jupyter Notebook","stars":39191,"forks":4670,"topics":[],"archived":false,"github_pushed_at":"2024-08-19T07:45:36+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/suno-ai-bark","markdown_url":"https://www.graphcanon.com/tools/suno-ai-bark.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/suno-ai-bark","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=suno-ai-bark","description":"🔊 Text-Prompted Generative Audio Model","homepage_url":null,"license":"MIT","open_issues":268,"watchers":335,"ai_summary":null,"readme_excerpt":"## 💻 Installation\n*‼️ CAUTION ‼️ Do NOT use `pip install bark`. It installs a different package, which is not managed by Suno.*\n```bash\npip install git+https://github.com/suno-ai/bark.git\n```\n\nor\n\n```bash\ngit clone https://github.com/suno-ai/bark\ncd bark && pip install . \n```\n\n---\n\n## 🛠️ Hardware and Inference Speed\n\nBark has been tested and works on both CPU and GPU (`pytorch 2.0+`, CUDA 11.7 and CUDA 12.0).\n\nOn enterprise GPUs and PyTorch nightly, Bark can generate audio in roughly real-time. On older GPUs, default colab, or CPU, inference time might be significantly slower. For older GPUs or CPU you might want to consider using smaller models. Details can be found in out tutorial sections here.\n\nThe full version of Bark requires around 12GB of VRAM to hold everything on GPU at the same time. \nTo use a smaller version of the models, which should fit into 8GB VRAM, set the environment flag `SUNO_USE_SMALL_MODELS=True`.\n\nIf you don't have hardware available or if you want to play with bigger versions of our models, you can also sign up for early access to our model playground [here](https://suno-ai.typeform.com/suno-studio).\n\n---\n\n## © License\n\nBark is licensed under the MIT License.","github_created_at":"2023-04-07T19:34:48+00:00","created_at":"2026-07-11T23:09:35.688778+00:00","updated_at":"2026-07-11T23:09:49.502156+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"jupyter-notebook","name":"jupyter notebook"}],"trust":{"provenance":{"is_fork":false,"github_id":624994625,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:09:44.617Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":691,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:09:46.128Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:09:44.272Z"},"languages":{"value":["jupyter notebook","python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T23:09:44.272Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T23:09:44.272Z"}}}}